My research so far has focused on guiding ensembles of particles using a suitable universal control strategy that meets distributional constraints. This problem can be approached from an inference prespective: identifying the dynamics that govern the observed distributions of the ensemble. One area I explore involves satisfying distributional constraints on the endpoint states of a collection of either deterministic or stochastic agents. Another area concerns stopping-time distributions (or first-passage times) to regulate the temporal uncertainty associated with an ensemble of random agents reaching target states.